Title :
When an extra bit is a waste
Author_Institution :
Dept. of Electr. Eng. & & Comput. Sci., Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
In most cases, the more independent measurements of a phenomenon the better the estimate of the data. We show that this statement is not necessarily true when measuring binary data with a minimum error probability criterion. For n independent binary measurements, there are n - 1 different conditions when one measurement bit is redundant, which also means that there are n conditions when one additional independent measurement does not help reduce error.
Keywords :
binary codes; error statistics; maximum likelihood decoding; MAP decoding problem; a priori probability; binary repetition code; bit repetition code; minimum error probability criterion; Distributed databases; Error probability; Maximum likelihood decoding; Measurement uncertainty; Noise; Noise measurement;
Conference_Titel :
Wireless and Optical Communications Conference (WOCC), 2011 20th Annual
Conference_Location :
Newark, NJ
Print_ISBN :
978-1-4577-0453-6
DOI :
10.1109/WOCC.2011.5872308
